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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
for Quantitative Genetics and Genomics (QGG) holds a prominent position in research in developing breeding plans and breeding goals for sustainable production. We are developing simulation tools for breeding
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applications for a unique postdoctoral position focused on the development of digital models of the human colon and surrounding organs to simulate their behaviour during colonoscopy procedures. The successful
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Your application should in English include: Cover letter addressing the requirements (max. one page) Curriculum Vitae A certified/signed copy of certificate(s) of education Please submit your application
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operation process. Particularly, we seek to support architects to design more sustainable buildings through simulation-assisted performance feedback regarding initial design concepts. We will explore how AI
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tailoring their microstructure and to develop a direct link as well as a closed loop between processing and fabrication of materials on one hand, and material characterisation and simulation-theoretical
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controlled by tailoring their microstructure and to develop a direct link as well as a closed loop between processing and fabrication of materials on one hand, and material characterisation and simulation
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for the position (max. two pages) 3. Teaching experience 4. A certified/signed copy of a) PhD certificate and b) MSc certificate. 5. Publication list Application deadline: April 19, 2026, 23.59pm CET We reserve
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development of our hybrid power plant simulation models and controllers, mainly the plant level controllers taking into account the interaction with commercial wind turbine, PV systems, battery system and their
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to support architects to design more sustainable buildings through simulation-assisted performance feedback regarding initial design concepts. We will explore how AI systems can augment professionals
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simulations and with physical drones in mock search-and-rescue missions. This position will involve close collaboration with the PhD student at SDU who is developing technical building blocks that can support